Nicolas Hengartner

According to our database, Nicolas Hengartner authored at least 4 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Towards Reasoning for PDE Foundation Models: A Reward-Model-Driven Inference-Time-Scaling Algorithm.

Siddharth Mansingh, James Amarel, Ragib Arnab, Arvind T. Mohan, Kamaljeet Singh, Gerd J. Kunde, Nicolas Hengartner, Benjamin Migliori, Emily Casleton, Nathan DeBardeleben, Ayan Biswas, Diane Oyen, Earl Lawrence

CoRR, September, 2025

Generalization vs. Memorization in Autoregressive Deep Learning: Or, Examining Temporal Decay of Gradient Coherence.

James Amarel, Nicolas Hengartner, Robyn Miller, Kamaljeet Singh, Siddharth Mansingh, Arvind T. Mohan, Benjamin Migliori, Emily Casleton, Alexei N. Skurikhin, Earl Lawrence, Gerd J. Kunde

CoRR, September, 2025

Worst-Case Learning under a Multifidelity Model.

Simon Foucart, Nicolas Hengartner

SIAM/ASA J. Uncertain. Quantification, 2025

2024

Worst-Case Learning under a Multi-fidelity Model.

Simon Foucart, Nicolas Hengartner

CoRR, 2024